Harrison L, Hughes A
Center for Drug and Alcohol Studies University of Delaware, Newark 19716, USA.
NIDA Res Monogr. 1997;167:1-16.
Measuring levels and patterns of illicit drug use, their correlates, and related behaviors requires the use of self-report methods. However, the validity of self-reported data on sensitive and highly stigmatized behaviors such as drug use has been questioned. The goal of this monograph is to review current and cutting-edge research on the validity of self-reported drug use and to describe methodological advances designed to reduce total error in estimates of drug use and quantify sources of nonsampling error. This monograph reviews a number of studies that use some presumably more accurate measure of drug use to validate self-reported use. In addition, evolving methods to improve a wide variety of procedures used in survey designs are explored, including computer-assisted interviewing, predictors of response propensity, measurement error models, and improved prevalence estimation techniques. Experimental manipulations of various survey conditions and situational factors also show promise in improving the validity of drug prevalence estimates in self-report surveys.
测量非法药物使用的水平和模式、其相关因素以及相关行为需要使用自我报告方法。然而，关于吸毒等敏感且高度污名化行为的自我报告数据的有效性受到了质疑。本专著的目标是回顾关于自我报告吸毒有效性的当前和前沿研究，并描述旨在减少吸毒估计中的总误差以及量化非抽样误差来源的方法学进展。本专著回顾了一些使用一些大概更准确的吸毒测量方法来验证自我报告使用情况的研究。此外，还探讨了不断发展的方法，以改进调查设计中使用的各种程序，包括计算机辅助访谈、回应倾向预测因素、测量误差模型以及改进的患病率估计技术。对各种调查条件和情境因素的实验性操纵在提高自我报告调查中吸毒患病率估计的有效性方面也显示出前景。
